Pittsburgh Penguins

GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 6
GF: 18 | GA: 13 | PP%: 12.50% | PK%: 83.33%
DG: Maxime Roy | Morale : 73 | Moyenne d'Équipe : 80
Prochain matchs #41 vs Boston Bruins
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Nikita KucherovX100.00755588988897959950979587558585180870
2Vincent TrocheckX100.00975584948088929692919092558076171850
3Johnny GaudreauX100.00605599987590909950978582558280171830
4Ryan JohansenXX100.00775582959090959497907590558181175830
5Cam AtkinsonXX100.00715589878686928760808787558484181800
6Ondrej PalatX100.00975584918989968758867581558380182800
7Alexander WennbergX100.00685589918282909079847083557877181780
8Alexander Kerfoot (R)X100.00785580927483888672808077557474176770
9Danton HeinenXX100.00745583897782888663847679557474182770
10Antoine VermetteX100.00735583819090867799666995559290146760
11Joonas DonskoiXX100.00655577797680808561787576557070181730
12Chris WagnerX100.00995578737770757482656781557789165710
13Ryan SuterX100.00815590949599999625926699559295179880
14Jared SpurgeonX100.00805598948296979425887297558381180850
15Colton ParaykoX100.00875598919192899325846696558179168840
16Michael MathesonX100.00755579878689899025737095558582180810
17Ben HuttonX100.00755586838283887325646089557773182760
18Vince DunnX100.00725591655981678925776592557474181730
Rayé
1Derick BrassardX97.89885589849393898785828385558584162800
2Denis MalginXXX100.00805578797275758062707677557070136710
MOYENNE D'ÉQUIPE99.8579558687828788885881758755808017379
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jonathan Quick100.0094959692959394929291559194167910
2Alex Stalock100.0076868885867578807582557570169780
Rayé
MOYENNE D'ÉQUIPE100.008591928991848686848755838216885
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peters79787689786264CAN535100,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Vincent TrocheckPittsburgh PenguinsC534744026192331613.04%312725.500118230002180052.66%18800001.1000000101
2Johnny GaudreauPittsburgh PenguinsLW54264000151651225.00%013026.151014230000211140.00%1000000.9200000010
3Michael MathesonPittsburgh PenguinsD5235220106131515.38%910120.30022821000015100.00%000000.9900000000
4Colton ParaykoPittsburgh PenguinsD5055200842150.00%48016.030000000000000.00%000001.2500000000
5Cam AtkinsonPittsburgh PenguinsLW/RW531410027205915.00%110721.54101623000091050.00%800000.7400000010
6Alexander KerfootPittsburgh PenguinsRW52242205481825.00%07014.11101323000000050.00%200001.1300000001
7Ryan JohansenPittsburgh PenguinsC/RW5224120148173911.76%111122.35022323000080055.22%6700000.7200000010
8Jared SpurgeonPittsburgh PenguinsD503342010313390.00%914529.12000525000119000.00%000000.4100000001
9Ryan SuterPittsburgh PenguinsD5022480788270.00%1414028.13000325000014000.00%000000.2800000000
10Nikita KucherovPittsburgh PenguinsRW502242019199140.00%010821.7900032300000000.00%500000.3700000000
11Ondrej PalatPittsburgh PenguinsLW51123206373414.29%05310.7400000000000050.00%400000.7500000000
12Alexander WennbergPittsburgh PenguinsC51122001670514.29%0469.3700000000000038.98%5900000.8500000000
13Derick BrassardPittsburgh PenguinsC4022020694130.00%05112.7500000000000048.05%7700000.7800000000
14Ben HuttonPittsburgh PenguinsD5011-100320200.00%35410.830000000002000.00%000000.3700000000
15Vince DunnPittsburgh PenguinsD5011-140167310.00%710020.02000221000012000.00%000000.2000000000
16Antoine VermettePittsburgh PenguinsC5000-2203102130.00%0326.5300000000040059.62%5200000.0000000000
17Danton HeinenPittsburgh PenguinsC/LW5000-200335240.00%0306.13000000000100100.00%100000.0000000000
18Chris WagnerPittsburgh PenguinsC1000020000100.00%033.900000000000000.00%000000.0000000000
19Joonas DonskoiPittsburgh PenguinsLW/RW5000-200223000.00%0255.040000000000000.00%200000.0000000000
Stats d'équipe Total ou en Moyenne90183250253401081241744611410.34%51152316.933584523600031283150.32%47500000.6600000133
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jonathan QuickPittsburgh Penguins53200.9122.5231021131470000.000050200
Stats d'équipe Total ou en Moyenne53200.9122.5231021131470000.000050200


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex StalockPittsburgh PenguinsG291987-07-27No190 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$285,714$No
Alexander KerfootPittsburgh PenguinsRW221994-08-11Yes174 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$85,714$No
Alexander WennbergPittsburgh PenguinsC221994-09-21No190 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$257,143$No
Antoine VermettePittsburgh PenguinsC341982-07-19No198 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$714,286$No
Ben HuttonPittsburgh PenguinsD231993-04-20No183 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$300,000$85,714$No
Cam AtkinsonPittsburgh PenguinsLW/RW271989-06-05No174 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm5,000,000$5,000,000$1,428,571$No
Chris WagnerPittsburgh PenguinsC251991-05-27No202 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$85,714$No
Colton ParaykoPittsburgh PenguinsD231993-05-12No214 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$300,000$85,714$No
Danton HeinenPittsburgh PenguinsC/LW211995-07-05No185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$142,857$No
Denis MalginPittsburgh PenguinsC/LW/RW191997-01-18No163 Lbs5 ft8NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$142,857$No
Derick BrassardPittsburgh PenguinsC291987-09-22No202 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$1,000,000$No
Jared SpurgeonPittsburgh PenguinsD271989-11-29No176 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm5,000,000$5,000,000$1,428,571$No
Johnny GaudreauPittsburgh PenguinsLW231993-08-13No150 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm500,000$500,000$142,857$No
Jonathan QuickPittsburgh PenguinsG301986-01-21No220 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm6,500,000$6,500,000$1,857,143$No
Joonas DonskoiPittsburgh PenguinsLW/RW241992-04-13No180 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$300,000$85,714$No
Michael MathesonPittsburgh PenguinsD221994-02-17No192 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm925,000$925,000$264,286$No
Nikita KucherovPittsburgh PenguinsRW231993-06-16No184 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$1,428,571$No
Ondrej PalatPittsburgh PenguinsLW251991-03-27No190 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$1,000,000$No
Ryan JohansenPittsburgh PenguinsC/RW241992-07-30No223 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm3,500,000$3,500,000$1,000,000$No
Ryan SuterPittsburgh PenguinsD311985-01-20No200 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm5,000,000$5,000,000$1,428,571$No
Vince DunnPittsburgh PenguinsD201996-10-29No187 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$142,857$No
Vincent TrocheckPittsburgh PenguinsC231993-07-10No182 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$1,000,000$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2224.82189 Lbs6 ft02.092,242,045$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,325,000$34,400,000$18,800,000$8,800,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauVincent TrocheckNikita Kucherov45113
2Ondrej PalatRyan JohansenCam Atkinson35113
3Danton HeinenAlexander WennbergAlexander Kerfoot15122
4Chris WagnerAntoine VermetteJoonas Donskoi5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon50131
2Colton ParaykoMichael Matheson35131
3Ben HuttonVince Dunn10131
4Ryan SuterJared Spurgeon5131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauVincent TrocheckNikita Kucherov60005
2Cam AtkinsonRyan JohansenAlexander Kerfoot40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60113
2Michael MathesonVince Dunn40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Vincent TrocheckJohnny Gaudreau60131
2Ryan JohansenCam Atkinson40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60140
2Vince DunnMichael Matheson40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Vincent Trocheck60131Ryan SuterJared Spurgeon60140
2Ryan Johansen40131Vince DunnMichael Matheson40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Vincent TrocheckJohnny Gaudreau60122
2Ryan JohansenNikita Kucherov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60131
2Ben HuttonMichael Matheson40131
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johnny GaudreauVincent TrocheckNikita KucherovRyan SuterJared Spurgeon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ondrej PalatVincent TrocheckCam AtkinsonRyan SuterJared Spurgeon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Johansen, Vincent Trocheck, Cam AtkinsonDanton Heinen, Vincent TrocheckVincent Trocheck
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ben Hutton, Vince Dunn, Michael MathesonBen HuttonVince Dunn, Michael Matheson
Tirs de Pénalité
Johnny Gaudreau, Ryan Johansen, Danton Heinen, Vincent Trocheck, Cam Atkinson
Gardien
#1 : Jonathan Quick, #2 : Alex Stalock


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Boston Bruins53200000181352020000079-233000000114760.60018325001105211746152565147513610824312.50%18383.33%09619549.23%10420351.23%397750.65%13092116396332
Total53200000181352020000079-233000000114760.60018325001105211746152565147513610824312.50%18383.33%09619549.23%10420351.23%397750.65%13092116396332
_Since Last GM Reset53200000181352020000079-233000000114760.60018325001105211746152565147513610824312.50%18383.33%09619549.23%10420351.23%397750.65%13092116396332
_Vs Conference53200000181352020000079-233000000114760.60018325001105211746152565147513610824312.50%18383.33%09619549.23%10420351.23%397750.65%13092116396332

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
56W1183250174147513610801
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
53200001813
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000079
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3300000114
Derniers 10 Matchs
WLOTWOTL SOWSOL
221000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
24312.50%18383.33%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
615256510521
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
9619549.23%10420351.23%397750.65%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13092116396332


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2019-04-061Pittsburgh Penguins5Boston Bruins3WSommaire du Match
3 - 2019-04-089Pittsburgh Penguins2Boston Bruins1WXSommaire du Match
5 - 2019-04-1017Boston Bruins4Pittsburgh Penguins3LSommaire du Match
7 - 2019-04-1225Boston Bruins5Pittsburgh Penguins4LSommaire du Match
9 - 2019-04-1433Pittsburgh Penguins4Boston Bruins0WSommaire du Match
11 - 2019-04-1641Boston Bruins-Pittsburgh Penguins-
13 - 2019-04-1849Pittsburgh Penguins-Boston Bruins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance12,00010,0004,0008,0002,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 18000 - 100.00% 1,125,000$2,250,000$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 49,325,000$ 25,958,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 4 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 134,620,591$ 134,620,591$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Johnny GaudreauAGE:23PO:1OV:83
Cam AtkinsonAGE:27PO:1OV:80
Ondrej PalatAGE:25PO:1OV:80
Danton HeinenAGE:21PO:1OV:77
Joonas DonskoiAGE:24PO:1OV:73
Robby FabbriAGE:20PO:1OV:72
Denis MalginAGE:19PO:1OV:71
Valentin ZykovAGE:21PO:1OV:65
Denis GurianovAGE:19PO:1OV:63
William CarrierAGE:22PO:1OV:63
Blake PietilaAGE:23PO:1OV:62
Andrew MangiapaneAGE:20PO:1OV:61
Kenny AgostinoAGE:24PO:1OV:61
Brendan LemieuxAGE:20PO:1OV:61
*Warren FoegeleAGE:20PO:1OV:58
*Paul BittnerAGE:20PO:1OV:52
Vincent TrocheckAGE:23PO:1OV:85
Ryan JohansenAGE:24PO:1OV:83
Derick BrassardAGE:29PO:1OV:80
Alexander WennbergAGE:22PO:1OV:78
Danton HeinenAGE:21PO:1OV:77
Antoine VermetteAGE:34PO:1OV:76
Robby FabbriAGE:20PO:1OV:72
Denis MalginAGE:19PO:1OV:71
Chris WagnerAGE:25PO:1OV:71
Nic PetanAGE:21PO:1OV:63
Jonny BrodzinskiAGE:23PO:1OV:62
Matthew PecaAGE:23PO:1OV:62
Ryan MacInnisAGE:20PO:1OV:56
*Aleksi SaarelaAGE:20PO:1OV:55
*Adam MusilAGE:19PO:1OV:55
*Pavel JenysAGE:20PO:1OV:54
*Rourke ChartierAGE:20PO:1OV:52
Nikita KucherovAGE:23PO:1OV:87
Ryan JohansenAGE:24PO:1OV:83
Cam AtkinsonAGE:27PO:1OV:80
*Alexander KerfootAGE:22PO:1OV:77
Joonas DonskoiAGE:24PO:1OV:73
Denis MalginAGE:19PO:1OV:71
Josh ArchibaldAGE:24PO:1OV:65
Marcus SorensenAGE:24PO:1OV:64
Oskar SundqvistAGE:22PO:1OV:63
*Nicolas Aube-KubelAGE:20PO:1OV:56
Stanislav GalievAGE:24PO:1OV:52

Défense #1Défense #2Gardien
Ryan SuterAGE:31PO:1OV:88
Jared SpurgeonAGE:27PO:1OV:85
Colton ParaykoAGE:23PO:1OV:84
Michael MathesonAGE:22PO:1OV:81
Ben HuttonAGE:23PO:1OV:76
Vince DunnAGE:20PO:1OV:73
Connor CarrickAGE:22PO:1OV:71
Ian McCoshenAGE:21PO:1OV:66
*Brendan GuhleAGE:19PO:1OV:66
Kurtis MacDermidAGE:22PO:1OV:64
Jamie McBainAGE:28PO:1OV:57
Tommy CrossAGE:27PO:1OV:56
Jordan SubbanAGE:21PO:1OV:55
*Connor HobbsAGE:20PO:1OV:55
*Darren RaddyshAGE:20PO:1OV:55
*Luc SnuggerudAGE:21PO:1OV:54
*Jack DoughertyAGE:20PO:1OV:54
*Sergei BoikovAGE:20PO:1OV:54
*Jake WalmanAGE:20PO:1OV:54
*Jeff TaylorAGE:22PO:1OV:54
Dillon SimpsonAGE:23PO:1OV:54
*Jonas SiegenthalerAGE:19PO:1OV:53
*Michael BrodzinskiAGE:21PO:1OV:53
Jonathan QuickAGE:30PO:1OV:91
Alex StalockAGE:29PO:1OV:78
Ken ApplebyAGE:21PO:1OV:66
Brandon HalversonAGE:20PO:1OV:63
Alex NedeljkovicAGE:21PO:1OV:62
*Zachary FucaleAGE:21PO:1OV:61

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Adam MascherinPittsburgh Penguins1230
Adam RuzickaPittsburgh Penguins1383
Andrew PeekePittsburgh Penguins1283
Anthony AngeloPittsburgh Penguins10166
Cliff PuPittsburgh Penguins1260
Cole GuttmanPittsburgh Penguins13179
Colton PointPittsburgh Penguins129
Conner HurleyPittsburgh Penguins981
David CottonPittsburgh Penguins11146
Dmitri SamorukovPittsburgh Penguins1382
Dylan WellsPittsburgh Penguins1299
Eetu TuulolaPittsburgh Penguins12158
Elvis MerzilikinsPittsburgh Penguins
Gilles SennPittsburgh Penguins13170
Grant MismashPittsburgh Penguins1375
John PiccinichPittsburgh Penguins10138
Joshua EssPittsburgh Penguins13163
Kasper KotkansaloPittsburgh Penguins13139
Kirill MaksimovPittsburgh Penguins1379
Kristian VesalainenPittsburgh Penguins1322
Linus LindstromPittsburgh Penguins12164
Lucas CarlssonPittsburgh Penguins1281
Lukas JasekPittsburgh Penguins11167
Merrick MadsenPittsburgh Penguins9172
Michael PrapavessisPittsburgh Penguins10119
Mikhail BerdinPittsburgh Penguins12107
Nick SchneiderPittsburgh Penguins
Nikita PavlychevPittsburgh Penguins11180
Patrick HarperPittsburgh Penguins1269
Pavel ShenPittsburgh Penguins13181
Philip KempPittsburgh Penguins13143
Pierre EngvallPittsburgh Penguins10141
Reilly WalshPittsburgh Penguins1376
Rhett GardnerPittsburgh Penguins12165
Riley StillmanPittsburgh Penguins12126
Riley TuftePittsburgh Penguins1259
Shane GersichPittsburgh Penguins10133
Steven SpinnerPittsburgh Penguins10165
Thomas NovakPittsburgh Penguins1171
Tim SoderlundPittsburgh Penguins1391
Tyler NannePittsburgh Penguins10168
Tyler WallPittsburgh Penguins12108
Vladislav GavrikovPittsburgh Penguins11165
Wouter PeetersPittsburgh Penguins12106
Yegor RykovPittsburgh Penguins1288
Zach GallantPittsburgh Penguins13173

Choix au Repêchage

Année R1R2R3R4R5R6
14Pit Pit NYI Tor Nas Cal Flo Chi
15Pit Pit PHX Ana Phi Pit Bos NYR Dal Nas
16Pit Pit Pit Min Phi
17Pit Pit Pit Pit Pit
18Pit Pit Pit Pit Pit



[2019-02-01 08:58:24] - TRADE : From Florida Panthers to Pittsburgh Penguins : Ryan Johansen (82), Pavel Shen (P).
[2019-02-01 08:58:24] - TRADE : From Pittsburgh Penguins to Florida Panthers : Frank Vatrano (68), Haydn Fleury (72), Alexander Nylander (64), Y:15-RND:3-Pit.
[2019-01-19 11:35:45] - TRADE : From Pittsburgh Penguins to Toronto Maple Leafs : Joel Eriksson Ek (70).
[2019-01-19 11:35:45] - TRADE : From Toronto Maple Leafs to Pittsburgh Penguins : Y:14-RND:2-Tor.
[2019-01-18 19:25:41] - TRADE : From Pittsburgh Penguins to Vegas Golden Knights : Y:18-RND:6-Pit.
[2019-01-18 19:25:41] - TRADE : From Vegas Golden Knights to Pittsburgh Penguins : Antoine Vermette (76).
[2019-01-18 19:25:01] - TRADE : From Pittsburgh Penguins to Dallas Stars : Mike Cammalleri (71).
[2019-01-18 19:25:01] - TRADE : From Dallas Stars to Pittsburgh Penguins : Y:15-RND:6-Dal, Y:15-RND:6-Nas.
[2019-01-17 17:53:25] - TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:15-RND:5-Phi, Y:16-RND:5-Phi.
[2019-01-17 17:53:25] - TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Tom Pyatt (71), Y:17-RND:6-Pit.
[2018-12-27 19:36:52] - TRADE : From Pittsburgh Penguins to Chicago Blackhawks : Olli Maatta (80), Oliver Bjorkstrand (74).
[2018-12-27 19:36:52] - TRADE : From Chicago Blackhawks to Pittsburgh Penguins : Jared Spurgeon (85), Y:14-RND:5-Chi.
[2018-10-08 12:11:15] - TRADE : From Pittsburgh Penguins to Florida Panthers : Steven Kampfer.
[2018-10-08 12:11:15] - TRADE : From Florida Panthers to Pittsburgh Penguins : Y:15-RND:5-Bos.
[2018-10-04 17:13:26] - New Record for Team's Most Points (24) in 1 Game for Pittsburgh Penguins!
[2018-10-04 17:13:26] - New Record for Team's Most Assists (16) in 1 Game for Pittsburgh Penguins!
[2018-09-29 10:52:43] - Team Name Change : Wilkes-Barre Penguins changed name to Penguins
[2018-09-24 15:57:38] - TRADE : From Pittsburgh Penguins to New York Rangers : Avery Peterson (P), Shane Eiserman (P), Y:15-RND:4-Bos, Y:16-RND:5-Pit.
[2018-09-24 15:57:38] - TRADE : From New York Rangers to Pittsburgh Penguins : Tom Pyatt, Mike Cammalleri.
[2018-09-10 12:57:44] - Dylan Gambrell has been deleted from Pittsburgh Penguins.
[2018-09-03 18:02:38] - Darren Raddysh was added to Pittsburgh Penguins.



[2019-04-18 08:22:24] Derick Brassard from Pittsburgh Penguins is back from Back Spasms Injury.
[2019-04-18 08:21:28] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-04-16 07:50:54] Last 7 Days Pro Star : 1 - Filip Forsberg of Minnesota Wild (5-2-7) / 2 - Vincent Trocheck of Pittsburgh Penguins (2-4-6) / 3 - Adam Larsson of Washington Capitals (3-2-5)
[2019-04-16 07:50:52] Game 25 - Derick Brassard from Pittsburgh Penguins is injured (Back Spasms) and is out for 5 days.
[2019-04-16 07:49:41] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-04-14 10:37:40] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-04-12 07:59:40] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-04-10 05:17:49] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-04-06 12:58:36] Last 30 Days Farm Star : 1 - Nicholas Baptiste of Wild (17-11-28) / 2 - Marcus Kruger of Roadrunners (15-10-25) / 3 - Robby Fabbri of Penguins (10-10-20)
[2019-04-06 11:54:13] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-04-04 09:46:57] Last 7 Days Farm Star : 1 - Anton Slepyshev of Americans (5-4-9) / 2 - Duncan Siemens of Crunch (2-3-5) / 3 - Josh Archibald of Penguins (3-3-6)
[2019-04-04 09:45:12] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-04-02 08:18:40] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-03-28 06:14:43] Last 7 Days Farm Star : 1 - Marcus Kruger of Roadrunners (6-1-7) / 2 - Spencer Foo of Sound Tigers (3-2-5) / 3 - Robby Fabbri of Penguins (3-3-6)
[2019-03-25 07:50:10] Derick Brassard from Pittsburgh Penguins is back from Broken Right Foot Toe Injury.
[2019-03-21 05:18:30] Last 7 Days Farm Star : 1 - Marcus Kruger of Roadrunners (5-4-9) / 2 - Eddie Pasquale of Senators (0,988) / 3 - Robby Fabbri of Penguins (4-3-7)
[2019-03-21 05:18:04] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-03-17 10:30:01] Robby Fabbri from Penguins has scored a Hat Trick!
[2019-03-15 05:22:37] Nikita Kucherov from Pittsburgh Penguins is back from Bruised Left Arm Injury.
[2019-03-12 08:46:09] Auto Lines Partial Function has been run for Pittsburgh Penguins.
[2019-03-12 08:46:09] Auto Roster Partial Function has been run for Pittsburgh Penguins.
[2019-03-11 09:22:54] Jonathan Quick from Pittsburgh Penguins is back from Exhaustion.
[2019-03-10 05:41:00] Last 30 Days Pro Star : 1 - Vincent Trocheck of Pittsburgh Penguins (8-12-20) / 2 - Jonathan Marchessault of New York Rangers (8-16-24) / 3 - Anze Kopitar of New York Rangers (8-16-24)
[2019-03-10 05:41:00] Jonathan Quick from Pittsburgh Penguins injured (Exhaustion)



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1353200000181352020000079-2330000001147618325001105211746152565147513610824312.50%18383.33%09619549.23%10420351.23%397750.65%13092116396332
Total Séries53200000181352020000079-2330000001147618325001105211746152565147513610824312.50%18383.33%09619549.23%10420351.23%397750.65%13092116396332